The Excitement Open Platform for Textual Inferences

被引：0

作者：

Magnini, Bernardo ^{[1
]}

Zanoli, Roberto ^{[1
]}

Dagan, Ido ^{[4
]}

Eichler, Kathrin ^{[3
]}

Neumann, Guenter ^{[3
]}

Noh, Tae-Gil ^{[2
]}

Pado, Sebastian ^{[2
]}

Stern, Asher ^{[4
]}

Levy, Omer ^{[4
]}

机构：

[1] FBK, Trento, Italy

[2] Stuttgart Univ, Stuttgart, Germany

[3] DFKI, Kaiserslautern, Germany

[4] Bar Ilan Univ, Ramat Gan, Israel

来源：

PROCEEDINGS OF 52ND ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: SYSTEM DEMONSTRATIONS | 2014年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents the Excitement Open Platform (EOP), a generic architecture and a comprehensive implementation for textual inference in multiple languages. The platform includes state-of-art algorithms, a large number of knowledge resources, and facilities for experimenting and testing innovative approaches. The EOP is distributed as an open source software.

引用

页码：43 / 48

页数：6

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